PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (139 utterances, 564 words searched).

  1. et tu prends les aut(r)es morceaux ? MOT · french/unkeler_pie19.cha, line 268 · Pierre 2;01
  2. vas_y tu y es presque ! MOT · french/unkeler_pie19.cha, line 462 · Pierre 2;01
  3. t(u) es un grand toi hein vas_y ! MOT · french/unkeler_pie19.cha, line 489 · Pierre 2;01
  1. french/unkeler_pie19.cha, line 268 · Pierre, 2;1.10
    CHIwww .
    MOTouais c'est bien .
    MOT*MOT: et tu prends les aut(r)es morceaux ?
    CHIwww .
    MOTlà parterre Pierre !
  2. french/unkeler_pie19.cha, line 462 · Pierre, 2;1.10
    MOTvas_y poussin , dans l'aut(r)e sens .
    MOTc'est bien Pierre .
    MOT*MOT: vas_y tu y es presque !
    MOTlà comme ça !
    MOTtou(r)ne !
  3. french/unkeler_pie19.cha, line 489 · Pierre, 2;1.10
    MOTdans l'aut(r)e sens , dans l'aut(r)e sens .
    MOTmais mets le toi !
    MOT*MOT: t(u) es un grand toi hein vas_y !
    CHIwww .
    MOTc'est bien .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Pierre french5.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie19.chaPierre 2;1.10564335.32

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. es3 · 100.0%